Patents by Inventor Charles OTTO

Charles OTTO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Adapting pre-trained classification algorithms
    Patent number: 11915472
    Abstract: The present disclosure is directed to data classification. An exemplary computer-enabled method for classifying image data comprises: receiving an input image, wherein the input image is of a second data domain; providing the input image to a preprocessing algorithm to obtain a transformed image, wherein the preprocessing algorithm is trained to transform data of the second data domain to data of a first data domain; providing the transformed image to a trained algorithm to analyze the transformed image, wherein the trained algorithm is trained based on training data of the first data domain.
    Type: Grant
    Filed: February 9, 2022
    Date of Patent: February 27, 2024
    Assignee: NOBLIS, INC.
    Inventor: Charles Otto
  • ADAPTING PRE-TRAINED CLASSIFICATION ALGORITHMS
    Publication number: 20220164610
    Abstract: The present disclosure is directed to data classification. An exemplary computer-enabled method for classifying image data comprises: receiving an input image, wherein the input image is of a second data domain; providing the input image to a preprocessing algorithm to obtain a transformed image, wherein the preprocessing algorithm is trained to transform data of the second data domain to data of a first data domain; providing the transformed image to a trained algorithm to analyze the transformed image, wherein the trained algorithm is trained based on training data of the first data domain.
    Type: Application
    Filed: February 9, 2022
    Publication date: May 26, 2022
    Applicant: NOBLIS, INC.
    Inventor: Charles OTTO
  • Adapting pre-trained classification algorithms
    Patent number: 11275973
    Abstract: The present disclosure is directed to data classification. An exemplary computer-enabled method for classifying image data comprises: receiving an input image patch, wherein the input image patch is of a second data domain; providing the input image patch to a preprocessing algorithm to obtain a preprocessed image patch, wherein the preprocessing algorithm is trained to transform data of the second data domain to data of a first data domain; providing the preprocessed image patch to a pre-trained classification algorithm, wherein the pre-trained classification algorithm is trained based on training data of the first data domain; obtaining one or more classification outputs from the pre-trained classification algorithm based on the preprocessed image patch.
    Type: Grant
    Filed: March 26, 2020
    Date of Patent: March 15, 2022
    Assignee: NOBLIS, INC.
    Inventor: Charles Otto
  • ADAPTING PRE-TRAINED CLASSIFICATION ALGORITHMS
    Publication number: 20200327382
    Abstract: The present disclosure is directed to data classification. An exemplary computer-enabled method for classifying image data comprises: receiving an input image patch, wherein the input image patch is of a second data domain; providing the input image patch to a preprocessing algorithm to obtain a preprocessed image patch, wherein the preprocessing algorithm is trained to transform data of the second data domain to data of a first data domain; providing the preprocessed image patch to a pre-trained classification algorithm, wherein the pre-trained classification algorithm is trained based on training data of the first data domain; obtaining one or more classification outputs from the pre-trained classification algorithm based on the preprocessed image patch.
    Type: Application
    Filed: March 26, 2020
    Publication date: October 15, 2020
    Applicant: NOBLIS, INC.
    Inventor: Charles OTTO